Index of /MainFolder/courses/DeepLearning/videos

[ICO]NameLast modifiedSizeDescription

[DIR]Parent Directory  -  
[TXT]02.1-LinearRegressionI-SupervisedLearningIntro.xml05-Apr-2011 19:54 426  
[VID]02.2-LinearRegressionI-ModelRepresentation.mp405-Apr-2011 19:54 7.0M 
[TXT]04.7-LogisticRegression-NewtonsMethodII.xml05-Apr-2011 19:54 420  
[TXT]05.2-Regularization-OptimizationObjective.xml05-Apr-2011 19:54 416  
[VID]02.3-LinearRegressionI-CostFunction.mp405-Apr-2011 19:54 4.7M 
[VID]02.1-LinearRegressionI-SupervisedLearningIntro.mp405-Apr-2011 19:54 8.1M 
[TXT]02.2-LinearRegressionI-ModelRepresentation.xml05-Apr-2011 19:54 170  
[TXT]02.4-LinearRegressionI-GradientDescent.xml05-Apr-2011 19:54 400  
[VID]02.4-LinearRegressionI-GradientDescent.mp405-Apr-2011 19:54 14M 
[VID]02.5-LinearRegressionI-GradientDescentForLinearRegression.mp405-Apr-2011 19:54 8.7M 
[TXT]02.5-LinearRegressionI-GradientDescentForLinearRegression.xml05-Apr-2011 19:54 460  
[VID]03.1-LinearRegressionII-FeatureScaling.mp405-Apr-2011 19:54 6.9M 
[VID]03.2-LinearRegressionII-LearningRate.mp405-Apr-2011 19:54 9.4M 
[VID]02.6-LinearRegressionI-VectorizedImplementation.mp405-Apr-2011 19:54 12M 
[TXT]02.3-LinearRegressionI-CostFunction.xml05-Apr-2011 19:54 156  
[TXT]03.1-LinearRegressionII-FeatureScaling.xml05-Apr-2011 19:54 162  
[TXT]03.2-LinearRegressionII-LearningRate.xml05-Apr-2011 19:54 158  
[TXT]03.3-LinearRegressionII-FeaturesAndPolynomialRegression.xml05-Apr-2011 19:54 198  
[VID]03.4-LinearRegressionII-NormalEquations.mp405-Apr-2011 19:54 9.9M 
[VID]03.3-LinearRegressionII-FeaturesAndPolynomialRegression.mp405-Apr-2011 19:54 7.5M 
[TXT]03.4-LinearRegressionII-NormalEquations.xml05-Apr-2011 19:54 164  
[TXT]04.1-LogisticRegression-Classification.xml05-Apr-2011 19:54 163  
[VID]04.5-LogisticRegression-GradientDescent.mp405-Apr-2011 19:54 6.0M 
[VID]04.1-LogisticRegression-Classification.mp405-Apr-2011 19:54 4.1M 
[VID]04.2-LogisticRegression-Model.mp405-Apr-2011 19:54 4.2M 
[VID]04.3-LogisticRegression-OptimizationObjectiveI.mp405-Apr-2011 19:54 6.8M 
[TXT]04.2-LogisticRegression-Model.xml05-Apr-2011 19:54 387  
[TXT]04.3-LogisticRegression-OptimizationObjectiveI.xml05-Apr-2011 19:54 181  
[VID]04.4-LogisticRegression-OptimizationObjectiveII.mp405-Apr-2011 19:54 5.0M 
[TXT]04.4-LogisticRegression-OptimizationObjectiveII.xml05-Apr-2011 19:54 183  
[TXT]04.5-LogisticRegression-GradientDescent.xml05-Apr-2011 19:54 417  
[VID]04.6-LogisticRegression-NewtonsMethodI.mp405-Apr-2011 19:54 6.7M 
[TXT]04.6-LogisticRegression-NewtonsMethodI.xml05-Apr-2011 19:54 164  
[TXT]04.8-LogisticRegression-GradientDescentVsNewtonsMethod.xml05-Apr-2011 19:54 195  
[VID]04.7-LogisticRegression-NewtonsMethodII.mp405-Apr-2011 19:54 7.2M 
[TXT]05.3-Regularization-CommonVariations.xml05-Apr-2011 19:54 386  
[VID]04.8-LogisticRegression-GradientDescentVsNewtonsMethod.mp405-Apr-2011 19:54 5.2M 
[VID]05.1-Regularization-TheProblemOfOverfitting.mp405-Apr-2011 19:54 8.0M 
[TXT]05.1-Regularization-TheProblemOfOverfitting.xml05-Apr-2011 19:54 171  
[VID]05.2-Regularization-OptimizationObjective.mp405-Apr-2011 19:54 6.1M 
[TXT]05.4-Regularization-RegularizedLinearRegression.xml05-Apr-2011 19:54 178  
[TXT]05.5-Regularization-RegularizedLogisticRegression.xml05-Apr-2011 19:54 441  
[TXT]06.1-NaiveBayes-GenerativeLearningAlgorithms.xml05-Apr-2011 19:54 428  
[TXT]06.2-NaiveBayes-TextClassification.xml05-Apr-2011 19:54 395  
[VID]05.3-Regularization-CommonVariations.mp405-Apr-2011 19:54 5.2M 
[VID]05.4-Regularization-RegularizedLinearRegression.mp405-Apr-2011 19:55 6.1M 
[VID]05.5-Regularization-RegularizedLogisticRegression.mp405-Apr-2011 19:55 6.1M 
[VID]06.1-NaiveBayes-GenerativeLearningAlgorithms.mp405-Apr-2011 19:55 8.2M 
[VID]06.2-NaiveBayes-TextClassification.mp405-Apr-2011 19:55 6.7M 
[VID]02.1-LinearRegressionI-SupervisedLearningIntro120.mp415-Apr-2011 17:47 13M 
[VID]02.1-LinearRegressionI-SupervisedLearningIntro150.mp415-Apr-2011 17:47 11M 
[VID]02.2-LinearRegressionI-ModelRepresentation120.mp415-Apr-2011 17:47 11M 
[VID]02.2-LinearRegressionI-ModelRepresentation150.mp415-Apr-2011 17:48 9.9M 
[VID]02.3-LinearRegressionI-CostFunction120.mp415-Apr-2011 17:48 9.5M 
[VID]02.3-LinearRegressionI-CostFunction150.mp415-Apr-2011 17:48 8.5M 
[VID]02.4-LinearRegressionI-GradientDescent120.mp415-Apr-2011 17:48 22M 
[VID]02.4-LinearRegressionI-GradientDescent150.mp415-Apr-2011 17:48 20M 
[VID]02.5-LinearRegressionI-GradientDescentForLinearRegression120.mp415-Apr-2011 17:48 20M 
[VID]02.5-LinearRegressionI-GradientDescentForLinearRegression150.mp415-Apr-2011 17:48 18M 
[VID]02.6-LinearRegressionI-VectorizedImplementation120.mp415-Apr-2011 17:48 33M 
[VID]02.6-LinearRegressionI-VectorizedImplementation150.mp415-Apr-2011 17:48 29M 
[VID]03.1-LinearRegressionII-FeatureScaling120.mp415-Apr-2011 17:48 13M 
[VID]03.1-LinearRegressionII-FeatureScaling150.mp415-Apr-2011 17:48 12M 
[VID]03.2-LinearRegressionII-LearningRate120.mp415-Apr-2011 17:48 16M 
[VID]03.2-LinearRegressionII-LearningRate150.mp415-Apr-2011 17:48 14M 
[VID]03.3-LinearRegressionII-FeaturesAndPolynomialRegression120.mp415-Apr-2011 17:49 14M 
[VID]03.3-LinearRegressionII-FeaturesAndPolynomialRegression150.mp415-Apr-2011 17:49 12M 
[VID]03.4-LinearRegressionII-NormalEquations120.mp415-Apr-2011 17:49 18M 
[VID]03.4-LinearRegressionII-NormalEquations150.mp415-Apr-2011 17:49 16M 
[VID]04.1-LogisticRegression-Classification120.mp415-Apr-2011 17:49 7.9M 
[VID]04.1-LogisticRegression-Classification150.mp415-Apr-2011 17:49 7.3M 
[VID]04.2-LogisticRegression-Model120.mp415-Apr-2011 17:49 5.6M 
[VID]04.2-LogisticRegression-Model150.mp415-Apr-2011 17:49 5.1M 
[VID]04.3-LogisticRegression-OptimizationObjectiveI120.mp415-Apr-2011 17:49 11M 
[VID]04.3-LogisticRegression-OptimizationObjectiveI150.mp415-Apr-2011 17:49 9.8M 
[VID]04.4-LogisticRegression-OptimizationObjectiveII120.mp415-Apr-2011 17:49 8.6M 
[VID]04.4-LogisticRegression-OptimizationObjectiveII150.mp415-Apr-2011 17:49 8.1M 
[VID]04.5-LogisticRegression-GradientDescent120.mp415-Apr-2011 17:49 11M 
[VID]04.5-LogisticRegression-GradientDescent150.mp415-Apr-2011 17:49 11M 
[VID]04.6-LogisticRegression-NewtonsMethodI120.mp415-Apr-2011 17:49 11M 
[VID]04.6-LogisticRegression-NewtonsMethodI150.mp415-Apr-2011 17:49 10M 
[VID]04.7-LogisticRegression-NewtonsMethodII120.mp415-Apr-2011 17:49 12M 
[VID]04.7-LogisticRegression-NewtonsMethodII150.mp415-Apr-2011 17:49 11M 
[VID]04.8-LogisticRegression-GradientDescentVsNewtonsMethod120.mp415-Apr-2011 17:49 9.5M 
[VID]04.8-LogisticRegression-GradientDescentVsNewtonsMethod150.mp415-Apr-2011 17:49 8.6M 
[VID]05.1-Regularization-TheProblemOfOverfitting120.mp415-Apr-2011 17:49 17M 
[VID]05.1-Regularization-TheProblemOfOverfitting150.mp415-Apr-2011 17:49 16M 
[VID]05.2-Regularization-OptimizationObjective120.mp415-Apr-2011 17:49 11M 
[VID]05.2-Regularization-OptimizationObjective150.mp415-Apr-2011 17:49 10M 
[VID]05.3-Regularization-CommonVariations120.mp415-Apr-2011 17:50 6.9M 
[VID]05.3-Regularization-CommonVariations150.mp415-Apr-2011 17:50 5.4M 
[VID]05.4-Regularization-RegularizedLinearRegression120.mp415-Apr-2011 17:50 12M 
[VID]05.4-Regularization-RegularizedLinearRegression150.mp415-Apr-2011 17:50 11M 
[VID]05.5-Regularization-RegularizedLogisticRegression120.mp415-Apr-2011 17:50 13M 
[VID]05.5-Regularization-RegularizedLogisticRegression150.mp415-Apr-2011 17:50 12M 
[VID]06.1-NaiveBayes-GenerativeLearningAlgorithms120.mp415-Apr-2011 17:50 21M 
[VID]06.1-NaiveBayes-GenerativeLearningAlgorithms150.mp415-Apr-2011 17:50 19M 
[VID]06.2-NaiveBayes-TextClassification120.mp415-Apr-2011 17:50 16M 
[VID]06.2-NaiveBayes-TextClassification150.mp415-Apr-2011 17:50 15M 
[TXT]02.6-LinearRegressionI-VectorizedImplementation.xml15-Apr-2011 18:03 426